Zurück zu Fähigkeiten

dhdna-profiler

K-Dense-AI
Aktualisiert Today
26,534
2,743
26,534
Auf GitHub ansehen
Metageneral

Über

Die dhdna-profiler-Fähigkeit extrahiert aus jedem bereitgestellten Text eine einzigartige kognitive Signatur und Denkmuster. Sie analysiert den Entscheidungsstil, die Denk-Fingerabdrücke und das gesamte kognitive Profil eines Autors zum Vergleich oder für Erkenntnisgewinn. Entwickler sollten sie nutzen, wenn ein Nutzer den Geist hinter schriftlichen Inhalten verstehen oder Denkstile analysieren möchte.

Schnellinstallation

Claude Code

Empfohlen
Primär
npx skills add K-Dense-AI/claude-scientific-skills -a claude-code
Plugin-BefehlAlternativ
/plugin add https://github.com/K-Dense-AI/claude-scientific-skills
Git CloneAlternativ
git clone https://github.com/K-Dense-AI/claude-scientific-skills.git ~/.claude/skills/dhdna-profiler

Kopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um diese Fähigkeit zu installieren

Dokumentation

DHDNA Profiler — Cognitive Pattern Extraction

A structured system for extracting the cognitive fingerprint of any text's author. Based on the Digital Human DNA (DHDNA) framework — the theory that every mind has a unique signature pattern expressed through how it reasons, decides, values, and communicates.

Published research: DHDNA Pre-print (DOI: 10.5281/zenodo.18736629) | IDNA Consolidation v2 (DOI: 10.5281/zenodo.18807387)

Core Concept

Just as biological DNA encodes physical identity through base pairs, Digital Human DNA encodes cognitive identity through thinking patterns. Every person's combination of analytical depth, creative range, emotional processing, strategic thinking, and ethical reasoning creates a unique cognitive signature — as distinctive as a fingerprint.

The profiler doesn't judge thinking as "good" or "bad." It maps the topology of how a mind works.

The 12 Cognitive Dimensions

When profiling text, score each dimension on a 1–10 scale based on evidence in the text:

#DimensionWhat It MeasuresLow Score (1-3)High Score (8-10)
1Analytical DepthLogical rigor, structured reasoning, causal chainsIntuitive, holistic, pattern-basedSystematic, proof-oriented, precise
2Creative RangeNovelty of connections, metaphor use, lateral thinkingConventional, incrementalParadigm-breaking, cross-domain synthesis
3Emotional ProcessingEmotional vocabulary, empathy signals, affect integrationDetached, clinicalEmotionally rich, feeling-integrated
4Linguistic PrecisionVocabulary sophistication, sentence architecture, rhetoricSimple, directArchitecturally complex, nuanced
5Ethical ReasoningValues signals, fairness concern, consequence awarenessPragmatic, outcome-focusedPrinciple-driven, justice-oriented
6Strategic ThinkingLong-term planning, competitive awareness, resource optimizationTactical, reactiveMulti-move, game-theoretic
7Memory IntegrationReference to past experience, historical patterns, continuityPresent-focusedDeep historical awareness, precedent-driven
8Social IntelligenceAudience awareness, perspective-taking, relational framingSelf-referentialDeeply other-aware, coalition-building
9Domain ExpertiseTechnical depth, specialized knowledge, jargon confidenceGeneralistDeep specialist
10Intuitive ReasoningGut-feel signals, heuristic shortcuts, pattern leapsMethodical, step-by-stepLeap-of-faith, insight-driven
11Temporal OrientationTime-horizon of thinking — past, present, or future focusPresent-anchoredTime-spanning, historical-to-futurist
12MetacognitionSelf-awareness of own thinking, uncertainty acknowledgmentUnreflectiveDeeply self-aware, thinks about thinking

The 6 Tension Pairs

Dimensions exist in tension — high scores on one often correlate with lower scores on its pair. These tensions ARE the cognitive signature:

PairTensionWhat It Reveals
DIM 1 ↔ DIM 10Analytical ↔ IntuitiveLogic vs. Gut — how the mind reaches conclusions
DIM 3 ↔ DIM 6Emotional ↔ StrategicHeart vs. Head — what drives decisions
DIM 2 ↔ DIM 5Creative ↔ EthicalFreedom vs. Framework — innovation within or beyond rules
DIM 4 ↔ DIM 12Linguistic ↔ MetacognitiveExpression vs. Self-Awareness — external craft vs. internal reflection
DIM 7 ↔ DIM 11Memory ↔ TemporalPast vs. Time Itself — experience vs. time-horizon
DIM 8 ↔ DIM 9Social ↔ DomainBreadth vs. Depth — people skills vs. technical mastery

How to Profile

Phase 1 — Evidence Collection

Read the text carefully. For each dimension, identify specific textual evidence:

  • Direct quotes that demonstrate the dimension
  • Structural patterns (how arguments are built)
  • What's present AND what's absent (gaps reveal as much as content)
  • Recurring patterns across multiple passages

Phase 2 — Scoring

For each of the 12 dimensions:

  1. Score 1-10 based on evidence
  2. Cite the strongest textual evidence for that score
  3. Flag confidence level: HIGH (multiple clear signals), MEDIUM (some signals), LOW (inferred)

Phase 3 — Pattern Synthesis

After scoring, identify:

Dominant Pattern: The 2-3 highest-scoring dimensions — this is the mind's "home base"

Shadow Pattern: The 2-3 lowest-scoring dimensions — this is where the mind doesn't naturally go

Signature Tensions: Which tension pairs show the widest gap? These define the cognitive style more than any individual score.

Reasoning Topology: How does the mind move through ideas?

  • Linear (A → B → C → conclusion)
  • Spiral (approaches the same idea from multiple angles, each time deeper)
  • Web (connects disparate domains into synthesis)
  • Dialectic (thesis → antithesis → synthesis)
  • Fractal (same pattern at micro and macro levels)

Decision Fingerprint: When facing choices, does this mind:

  • Analyze first, then decide? (Analytical-dominant)
  • Feel first, then rationalize? (Emotional-dominant)
  • Envision the outcome first, then work backward? (Strategic-dominant)
  • Question the question itself? (Metacognitive-dominant)

Phase 4 — Profile Output

Present the profile as:

═══════════════════════════════════════════
  DHDNA COGNITIVE PROFILE
  Subject: [Name or "Anonymous"]
  Text analyzed: [N words / N paragraphs]
  Confidence: [HIGH / MEDIUM / LOW]
═══════════════════════════════════════════

DIMENSION SCORES:
  1. Analytical Depth ···· [█████████·] 9/10
  2. Creative Range ······ [███████···] 7/10
  ... (all 12)

TENSION MAP:
  Analytical ████████░░ ↔ ░░████████ Intuitive
  Emotional  ███░░░░░░░ ↔ ░░░░░░████ Strategic
  ... (all 6 pairs)

DOMINANT PATTERN: [Top 2-3 dimensions]
SHADOW PATTERN: [Bottom 2-3 dimensions]
REASONING TOPOLOGY: [Linear / Spiral / Web / Dialectic / Fractal]
DECISION FINGERPRINT: [Analyze-first / Feel-first / Envision-first / Question-first]

NARRATIVE SYNTHESIS:
[2-3 paragraph natural language description of how this mind works,
what makes it distinctive, and what it might miss]

KEY QUOTES:
[3-5 most revealing quotes with dimension attribution]
═══════════════════════════════════════════

Comparison Mode

When the user provides two or more texts from different authors, produce individual profiles and then a comparison synthesis:

  • Where do the minds converge? (shared high dimensions)
  • Where do they diverge? (opposing scores on the same dimension)
  • Which tension pairs would create productive disagreement?
  • If these minds were in a room together, what would the conversation look like?

Self-Profile Mode

If the user asks to profile their own thinking (using the conversation history as text), be transparent:

  • Score based on the conversation so far
  • Acknowledge that conversational text may not represent the full range
  • Note that people often think differently when writing for an AI vs. writing for humans
  • Offer to re-profile if the user provides other writing samples

What This Is NOT

  • Not a personality test (MBTI, Big Five, etc.) — those measure behavioral tendencies, DHDNA measures cognitive architecture
  • Not a judgment of intelligence — a chess grandmaster and a poet may score very differently but both demonstrate profound cognitive capability
  • Not static — a person's DHDNA evolves as they learn, experience, and grow. A profile is a snapshot, not a destiny.

Built By

AHK Strategies — AI Horizon Knowledge Full platform: themindbook.app Research: DHDNA Paper (DOI: 10.5281/zenodo.18736629)

GitHub Repository

K-Dense-AI/claude-scientific-skills
Pfad: skills/dhdna-profiler
0
agent-skillsai-scientistbioinformaticschemoinformaticsclaudeclaude-skills

Verwandte Skills

content-collections

Meta

Diese Skill bietet eine produktionsgetestete Einrichtung für Content Collections – ein TypeScript-first-Tool, das Markdown/MDX-Dateien in typsichere Datensammlungen mit Zod-Validierung umwandelt. Verwenden Sie ihn beim Erstellen von Blogs, Dokumentationsseiten oder inhaltsstarken Vite + React-Anwendungen, um Typsicherheit und automatische Inhaltsvalidierung zu gewährleisten. Er behandelt alles von der Vite-Plugin-Konfiguration und MDX-Kompilierung bis hin zur Deployment-Optimierung und Schema-Validierung.

Skill ansehen

polymarket

Meta

Diese Fähigkeit ermöglicht es Entwicklern, Anwendungen mit der Polymarket-Prognosemärkte-Plattform zu erstellen, einschließlich API-Integration für Handel und Marktdaten. Sie bietet außerdem Echtzeit-Datenstreaming über WebSocket, um Live-Trades und Marktaktivitäten zu überwachen. Nutzen Sie sie zur Implementierung von Handelsstrategien oder zur Erstellung von Tools, die Live-Marktaktualisierungen verarbeiten.

Skill ansehen

creating-opencode-plugins

Meta

Diese Fähigkeit unterstützt Entwickler dabei, OpenCode-Plugins zu erstellen, die in über 25 Ereignistypen wie Befehle, Dateien und LSP-Operationen eingreifen. Sie bietet die Plugin-Struktur, Event-API-Spezifikationen und Implementierungsmuster für JavaScript/TypeScript-Module. Nutzen Sie sie, wenn Sie den Lebenszyklus des OpenCode KI-Assistenten mit benutzerdefinierter ereignisgesteuerter Logik abfangen, überwachen oder erweitern müssen.

Skill ansehen

sglang

Meta

SGLang ist ein hochperformantes LLM-Serving-Framework, das sich auf schnelle, strukturierte Generierung für JSON, Regex und agentenbasierte Workflows unter Verwendung seines RadixAttention-Prefix-Cachings spezialisiert. Es bietet deutlich schnellere Inferenz, insbesondere für Aufgaben mit wiederholten Präfixen, was es ideal für komplexe, strukturierte Ausgaben und Mehrfachdialoge macht. Wählen Sie SGLang gegenüber Alternativen wie vLLM, wenn Sie constrained decoding benötigen oder Anwendungen mit umfangreicher Präfix-Weitergabe entwickeln.

Skill ansehen